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Plant traits, species pools and the prediction of relative abundance in plant communities: a maximum entropy approach
Author(s) -
Sonnier Grégory,
Shipley Bill,
Navas MarieLaure
Publication year - 2010
Publication title -
journal of vegetation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 115
eISSN - 1654-1103
pISSN - 1100-9233
DOI - 10.1111/j.1654-1103.2009.01145.x
Subject(s) - trait , relative species abundance , generality , biology , ecology , abundance (ecology) , plant species , principle of maximum entropy , statistics , mathematics , computer science , psychology , psychotherapist , programming language
Questions: To what extent can Shipley et al.'s original maximum entropy model of trait‐based community assembly predict relative abundances of species over a large (3000 km 2 ) landscape? How does variation in the species pool affect predictive ability of the model? How might the effects of missing traits be detected? How can non‐trait‐based processes be incorporated into the model? Location: Central England. Material and Methods: Using 10 traits measured on 506 plant species from 1308 1‐m 2 plots collected over 3000 km 2 in central England, we tested one aspect of Shipley et al.'s original maximum entropy model of “pure” trait‐based community assembly ( S 1 ), and modified it to represent both a neutral ( S 2 ) and a hybrid ( S 3 ) scenario of community assembly at the local level. Predictive ability of the three corresponding models was determined with different species pool sizes (30, 60, 100 and 506 species). Statistical significance was tested using a distribution‐free permutation test. Results: Predictive ability was high and significantly different from random expectations in S 1 . Predictive ability was low but significant in S 2 . Highest predictive ability occurred when both neutral and trait‐based processes were included in the model ( S 3 ). Increasing the pool size decreased predictive ability, but less so in S 3 . Incorporating habitat affinity (to indicate missing traits) increased predictive ability. Conclusions: The measured functional traits were significantly related to species relative abundance. Our results both confirm the generality of the original model but also highlight the importance of (i) taking into account neutral processes during assembly of a plant community, and (ii) properly defining the species pool.